Li-Yang Tan

Orcid: 0000-0002-1279-4384

According to our database1, Li-Yang Tan authored at least 80 papers between 2005 and 2023.

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Bibliography

2023
Lifting Uniform Learners via Distributional Decomposition.
Proceedings of the 55th Annual ACM Symposium on Theory of Computing, 2023

Superpolynomial lower bounds for decision tree learning and testing.
Proceedings of the 2023 ACM-SIAM Symposium on Discrete Algorithms, 2023

Single-Pass Streaming Algorithms for Correlation Clustering.
Proceedings of the 2023 ACM-SIAM Symposium on Discrete Algorithms, 2023

Harnessing the power of choices in decision tree learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Certification with an NP Oracle.
Proceedings of the 14th Innovations in Theoretical Computer Science Conference, 2023

Properly learning decision trees with queries is NP-hard.
Proceedings of the 64th IEEE Annual Symposium on Foundations of Computer Science, 2023

A strong composition theorem for junta complexity and the boosting of property testers.
Proceedings of the 64th IEEE Annual Symposium on Foundations of Computer Science, 2023

Multitask Learning via Shared Features: Algorithms and Hardness.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022
Improved Pseudorandom Generators from Pseudorandom Multi-switching Lemmas.
Theory Comput., 2022

Fooling Polytopes.
J. ACM, 2022

Properly Learning Decision Trees in almost Polynomial Time.
J. ACM, 2022

Open Problem: Properly learning decision trees in polynomial time?
CoRR, 2022

The query complexity of certification.
Proceedings of the STOC '22: 54th Annual ACM SIGACT Symposium on Theory of Computing, Rome, Italy, June 20, 2022

A Generalization of the Satisfiability Coding Lemma and Its Applications.
Proceedings of the 25th International Conference on Theory and Applications of Satisfiability Testing, 2022

Popular decision tree algorithms are provably noise tolerant.
Proceedings of the International Conference on Machine Learning, 2022

A query-optimal algorithm for finding counterfactuals.
Proceedings of the International Conference on Machine Learning, 2022

Reconstructing Decision Trees.
Proceedings of the 49th International Colloquium on Automata, Languages, and Programming, 2022

Almost 3-Approximate Correlation Clustering in Constant Rounds.
Proceedings of the 63rd IEEE Annual Symposium on Foundations of Computer Science, 2022

On the power of adaptivity in statistical adversaries.
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

The Composition Complexity of Majority.
Proceedings of the 37th Computational Complexity Conference, 2022

2021
On the Power and Limitations of Branch and Cut.
Electron. Colloquium Comput. Complex., 2021

Fooling Gaussian PTFs via Local Hyperconcentration.
CoRR, 2021

Query strategies for priced information, revisited.
Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms, 2021

Brief Announcement: A Randomness-efficient Massively Parallel Algorithm for Connectivity.
Proceedings of the PODC '21: ACM Symposium on Principles of Distributed Computing, 2021

Provably efficient, succinct, and precise explanations.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Stochastic Decision Trees.
Proceedings of the 48th International Colloquium on Automata, Languages, and Programming, 2021

Tradeoffs for small-depth Frege proofs.
Proceedings of the 62nd IEEE Annual Symposium on Foundations of Computer Science, 2021

Sharper bounds on the Fourier concentration of DNFs.
Proceedings of the 62nd IEEE Annual Symposium on Foundations of Computer Science, 2021

Deterministic Approximate Counting of Polynomial Threshold Functions via a Derandomized Regularity Lemma.
Proceedings of the Approximation, 2021

Decision Tree Heuristics Can Fail, Even in the Smoothed Setting.
Proceedings of the Approximation, 2021

2020
The Power of Many Samples in Query Complexity.
Electron. Colloquium Comput. Complex., 2020

Non-Malleability against Polynomial Tampering.
Electron. Colloquium Comput. Complex., 2020

Testing and reconstruction via decision trees.
CoRR, 2020

New lower bounds for Massively Parallel Computation from query complexity.
CoRR, 2020

Fooling Gaussian PTFs via local hyperconcentration.
Proceedings of the 52nd Annual ACM SIGACT Symposium on Theory of Computing, 2020

Unconditional Lower Bounds for Adaptive Massively Parallel Computation.
Proceedings of the SPAA '20: 32nd ACM Symposium on Parallelism in Algorithms and Architectures, 2020

Universal guarantees for decision tree induction via a higher-order splitting criterion.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Estimating decision tree learnability with polylogarithmic sample complexity.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Provable guarantees for decision tree induction: the agnostic setting.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Top-down induction of decision trees: rigorous guarantees and inherent limitations.
Electron. Colloquium Comput. Complex., 2019

Constructive derandomization of query algorithms.
CoRR, 2019

Pseudorandomness for read-k DNF formulas.
Proceedings of the Thirtieth Annual ACM-SIAM Symposium on Discrete Algorithms, 2019

2018
Settling the Query Complexity of Non-adaptive Junta Testing.
J. ACM, 2018

Non-Malleable Codes for Small-Depth Circuits.
Electron. Colloquium Comput. Complex., 2018

Luby-Velickovic-Wigderson Revisited: Improved Correlation Bounds and Pseudorandom Generators for Depth-Two Circuits.
Proceedings of the Approximation, 2018

2017
An Average-Case Depth Hierarchy Theorem for Boolean Circuits.
J. ACM, 2017

What Circuit Classes Can Be Learned with Non-Trivial Savings?.
Proceedings of the 8th Innovations in Theoretical Computer Science Conference, 2017

Fooling Intersections of Low-Weight Halfspaces.
Proceedings of the 58th IEEE Annual Symposium on Foundations of Computer Science, 2017

Deterministic Search for CNF Satisfying Assignments in Almost Polynomial Time.
Proceedings of the 58th IEEE Annual Symposium on Foundations of Computer Science, 2017

Adaptivity Is Exponentially Powerful for Testing Monotonicity of Halfspaces.
Proceedings of the Approximation, 2017

2016
Poly-logarithmic Frege depth lower bounds via an expander switching lemma.
Proceedings of the 48th Annual ACM SIGACT Symposium on Theory of Computing, 2016

Near-optimal small-depth lower bounds for small distance connectivity.
Proceedings of the 48th Annual ACM SIGACT Symposium on Theory of Computing, 2016

2015
Complexity Theory Column 89: The Polynomial Hierarchy, Random Oracles, and Boolean Circuits.
SIGACT News, 2015

An average-case depth hierarchy theorem for Boolean circuits.
Electron. Colloquium Comput. Complex., 2015

An inequality for the Fourier spectrum of parity decision trees.
CoRR, 2015

Noise Stable Halfspaces are Close to Very Small Juntas.
Chic. J. Theor. Comput. Sci., 2015

Boolean Function Monotonicity Testing Requires (Almost) n<sup>1/2</sup> Non-adaptive Queries.
Proceedings of the Forty-Seventh Annual ACM on Symposium on Theory of Computing, 2015

Approximate resilience, monotonicity, and the complexity of agnostic learning.
Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete Algorithms, 2015

Algorithmic Signaling of Features in Auction Design.
Proceedings of the Algorithmic Game Theory - 8th International Symposium, 2015

Adaptivity Helps for Testing Juntas.
Proceedings of the 30th Conference on Computational Complexity, 2015

2014
Analytic Methods in Concrete Complexity.
PhD thesis, 2014

New NP-Hardness Results for 3-Coloring and 2-to-1 Label Cover.
ACM Trans. Comput. Theory, 2014

A Regularity Lemma and Low-Weight Approximators for Low-Degree Polynomial Threshold Functions.
Theory Comput., 2014

Average Sensitivity and Noise Sensitivity of Polynomial Threshold Functions.
SIAM J. Comput., 2014

Learning circuits with few negations.
Electron. Colloquium Comput. Complex., 2014

Hypercontractive inequalities via SOS, and the Frankl-Rödl graph.
Proceedings of the Twenty-Fifth Annual ACM-SIAM Symposium on Discrete Algorithms, 2014

On DNF Approximators for Monotone Boolean Functions.
Proceedings of the Automata, Languages, and Programming - 41st International Colloquium, 2014

New Algorithms and Lower Bounds for Monotonicity Testing.
Proceedings of the 55th IEEE Annual Symposium on Foundations of Computer Science, 2014

A Composition Theorem for Parity Kill Number.
Proceedings of the IEEE 29th Conference on Computational Complexity, 2014

2013
Hypercontractivity Via the Entropy Method.
Theory Comput., 2013

Approximating Boolean functions with depth-2 circuits.
Electron. Colloquium Comput. Complex., 2013

A Composition Theorem for the Fourier Entropy-Influence Conjecture.
Proceedings of the Automata, Languages, and Programming - 40th International Colloquium, 2013

Learning Sums of Independent Integer Random Variables.
Proceedings of the 54th Annual IEEE Symposium on Foundations of Computer Science, 2013

On the Average Sensitivity and Density of k-CNF Formulas.
Proceedings of the Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques, 2013

2012
Attribute-Efficient Learning and Weight-Degree Tradeoffs for Polynomial Threshold Functions.
Proceedings of the COLT 2012, 2012

Hypercontractive inequalities via SOS, with an application to Vertex-Cover
CoRR, 2012

Analysis of Boolean Functions
CoRR, 2012

On the Distribution of the Fourier Spectrum of Halfspaces
CoRR, 2012

2010
Bounding the average sensitivity and noise sensitivity of polynomial threshold functions.
Proceedings of the 42nd ACM Symposium on Theory of Computing, 2010

2005
The Algebra of Equality Proofs.
Proceedings of the Term Rewriting and Applications, 16th International Conference, 2005


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